Enterprise Service
Custom Fine-Tuning
Overview
Enterprise-grade support for teams building with TNSA models.
Transform TNSA foundation models into domain-specific AI systems tailored to your business needs, data, tone, and evaluation criteria.
Fine-tuning methods
Focused services for production AI workflows.
Full fine-tuning
ServiceUpdate model parameters for deeper adaptation when the use case requires a substantial domain shift.
LoRA
ServiceTrain efficient adapter layers to reduce compute and memory while retaining strong task performance.
Instruction tuning
ServiceImprove task-following behavior for enterprise workflows, support agents, and structured operations.
Delivery process
A practical path from planning to production.
Data preparation
Clean, format, deduplicate, and validate training data.
Training setup
Select method, model tier, hyperparameters, and evaluation targets.
Monitoring
Track training quality, loss, samples, and early warning signs.
Validation
Run benchmark and human review before deployment.
Performance signals
3-10x
Faster adapter training
70%
Potential memory reduction
95%+
Adapter quality retention target
40-60%
Task-specific improvement range
Applications
Industry-specific assistants, internal knowledge agents, legal and medical document analysis, custom classification, support automation, and domain-specific content generation.
Build enterprise AI with TNSA
Talk to us about models, data, deployment, and production support.